Evidence map›Paper›PMID 42148458›Full record

ArticlePsychology research and behavior management2026

Directional Relations Between Symptoms of Adolescent Smartphone Addiction, Academic Burnout, and Psychological Distress: A Cross-Lagged Panel Network Analysis.

Wei Yao, Mengjian Hu, Hanchao Hou, Peng Yang, Shiguang Ni

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Article in Psychology research and behavior management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wei Yao *Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, People's Republic of China.ORCID 0009-0006-1463-6378
Mengjian Hu *Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, People's Republic of China.ORCID 0000-0003-0429-845X
Hanchao HouTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, People's Republic of China.
Peng YangFaculty of Data Science and Information Technology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, People's Republic of China.
Shiguang NiTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous research has identified a high risk of smartphone addiction and its association with general and school-contextual mental health problems (ie, psychological distress and academic burnout) among Chinese adolescents. Nonetheless, the directional and symptom-level relationships among these problems remain underexamined, hindering understanding of the mechanisms underlying their co-occurrence. Based on the I-PACE (Interaction of Person-Affect-Cognition-Execution) model, this study addressed these gaps by performing a cross-lagged panel network (CLPN) analysis. Methods: Data were obtained from a survey of 589 adolescents in secondary schools in China at two time points, with a five-month interval. Using a CLPN approach, this study examined the directional relationships among smartphone addiction, academic burnout, and psychological distress at the symptom level. Results: The depression and anxiety symptoms of psychological distress, as well as the withdrawal symptom of smartphone addiction, emerged as strong bridging symptoms. Moreover, three mechanisms linking the three problems were identified. First, depression predicted cyberspace-oriented relationships and smartphone overuse, and anxiety predicted daily-life disturbances. Second, withdrawal predicted anxiety. Third, depression predicted exhaustion from studying, and withdrawal predicted cynical attitudes towards studying. Conclusion: The results support the predisposing factors-smartphone addiction cycle described in the I-PACE model, aligning with the vulnerability, predisposition entrenchment, and intensification mechanisms proposed by the model. Psychological distress symptoms, as predisposing factors, playing key roles in the cycle. However, the results indicate that school situational factors such as academic burnout may function as distal outcomes rather than triggers in the cycle. The key linking mechanisms identified in this study are informative for generating hypotheses for future research and developing practical intervention strategies.

Indexed as

academic burnoutcross-lagged panel networkpsychological distresssmartphone addiction

Identifiers

PMID42148458
PMCPMC13179775

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